Heterogeneity Information Encoding
Jincheng Zhang
Abstract
This paper investigates the potential of quantum entanglement for novel information encoding techniques. The core focus is on a method leveraging quantum entanglement to achieve data compression and transmission, with the capability to learn and simulate complex system heterogeneity. We propose a framework predicated on the manipulation of entangled states to represent and transmit information, offering a potential paradigm shift in data handling. This work explores the theoretical underpinnings and preliminary implementation of this approach, highlighting its promise for handling complex, non-linear data and facilitating the modeling of intricate system dynamics. The paper will discuss the challenges and future directions of this research.